Design And Implementation Of Leakage Detection And Disposal System For Water Distribution Networks

In recent years,with the acceleration of urbanization in China and the rapid increase of urban population,the demand of water for urban residents is increasing,and the construction of municipal water supply networks has entered a stage of rapid development.However,the leak detection and leakage treatment methods in China's water supply industry are still relatively backward.At present,the current leakage detection of China's water supply industry mainly relies on passive manual inspection.This current pipe network leakage detection method can not meet the needs of the enterprise's daily pipe network leakage detection,and has certain shortcomings in accuracy and speed,which seriously restricts the development of China's water supply industry.After detecting the leakage,in order to reduce the loss caused by the leakage,the usual method is to close the valve at both ends of the leakage pipe section,which leads to uneven pressure distribution in the pipe network,and excessive pressure on some pipe sections causes damage to the pipe section,and the pressure on other pipe section is insufficient to meet the water supply demand.In view of the above-mentioned increasingly prominent shortcomings,this thesis has conducted in-depth discussion and research from the two aspects of pipe network leakage detection and pipe network leakage treatment.Firstly,In order to solve the leakage detection problem of municipal water supply network,this thesis proposes a leakage detection method based on Convolutional Neurals Networks(CNN).Leakage detection needs to set up a certain number of monitoring points in the pipeline network,and the data collected by the monitoring points must be accurate and representative.In order to arrange reasonable monitoring points,this thesisproposes a sensor placement method based on OPTICS(Ordering Point to Idenfy the Cluster Structure)algorithm.This method establishes the node characteristic matrix of preset pressure monitoring points,and uses OPTICS algorithm to cluster the characteristic matrix to get representative monitoring points.Based on the location of reasonable monitoring points,the leakage detection method is based on the learning of the historical data of the pipe network to extract the characteristics of the real-time data,and predicts whether the pipe network is leaked based on the extracted data features.Experiments show that the combination of the above two methods is better for the detection of pipe network leakage.The detection accuracy of single point leakage can be kept above 95%.Compared with the commonly used leakage detection methods,the detection accuracy is improved by more than 10%.Meanwhile,the accuracy of leakage detection for two points and three points isalso better.Secondly,Aiming at the problem of leakage treatment in water supply management,thisthesisproposes a method based on particle swarm optimization(PSO).When the pipe network leaks,close the valve at both ends of the leakage pipe section,and adjust the opening degree of the non-leakage pipe section to ensure the balance of the pipe network pressure distribution of the non-leakage pipe section,so that the pipe network can operate safely and efficiently.This process is regarded as a mathematical optimal value solving process.This method constructs the hydraulic calculation model of pipeline network under the closed state of the valve in the leaky pipeline section,and uses PSO algorithm to iteratively find the optimal opening of each non-leaky pipeline section valve,which provides a theoretical reference for balancing the pressure distribution of the leaky pipeline network.The experiment shows that the method can calculate the valves' s optimal opening degree of each non-leakage pipe segment through the optimization algorithm to provide guarantee for the safe and efficient operation of the water supply network after the leakage occurs.Finally,Focusing on design idea which is practical,safe and emergency,the software of leakage detection and disposal system for municipal water supply network is designed and implemented.Data acquisition and display functions,leakage detection functions,and disposal leakage functions are implemented in the software.